Main Tab 1

Column

Column Tab 1

# A tibble: 374 × 13
   `Person ID` Gender   Age Occupation    Sleep_dur   QOS   PAL stress_lvl BMI  
         <dbl> <chr>  <dbl> <chr>             <dbl> <dbl> <dbl>      <dbl> <chr>
 1           1 Male      27 Software Eng…       6.1     6    42          6 Over…
 2           2 Male      28 Doctor              6.2     6    60          8 Norm…
 3           3 Male      28 Doctor              6.2     6    60          8 Norm…
 4           4 Male      28 Sales Repres…       5.9     4    30          8 Obese
 5           5 Male      28 Sales Repres…       5.9     4    30          8 Obese
 6           6 Male      28 Software Eng…       5.9     4    30          8 Obese
 7           7 Male      29 Teacher             6.3     6    40          7 Obese
 8           8 Male      29 Doctor              7.8     7    75          6 Norm…
 9           9 Male      29 Doctor              7.8     7    75          6 Norm…
10          10 Male      29 Doctor              7.8     7    75          6 Norm…
# ℹ 364 more rows
# ℹ 4 more variables: blood_press <chr>, heart_rate <dbl>, daily_step <dbl>,
#   sleep_disorder <chr>

Column Tab 2

Person ID Gender Age Occupation Sleep_dur QOS PAL stress_lvl BMI blood_press heart_rate daily_step sleep_disorder
1 Male 27 Software Engineer 6.1 6 42 6 Overweight 126/83 77 4200 None
2 Male 28 Doctor 6.2 6 60 8 Normal 125/80 75 10000 None
3 Male 28 Doctor 6.2 6 60 8 Normal 125/80 75 10000 None
4 Male 28 Sales Representative 5.9 4 30 8 Obese 140/90 85 3000 Sleep Apnea
5 Male 28 Sales Representative 5.9 4 30 8 Obese 140/90 85 3000 Sleep Apnea
6 Male 28 Software Engineer 5.9 4 30 8 Obese 140/90 85 3000 Insomnia
7 Male 29 Teacher 6.3 6 40 7 Obese 140/90 82 3500 Insomnia
8 Male 29 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
9 Male 29 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
10 Male 29 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
11 Male 29 Doctor 6.1 6 30 8 Normal 120/80 70 8000 None
12 Male 29 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
13 Male 29 Doctor 6.1 6 30 8 Normal 120/80 70 8000 None
14 Male 29 Doctor 6.0 6 30 8 Normal 120/80 70 8000 None
15 Male 29 Doctor 6.0 6 30 8 Normal 120/80 70 8000 None
16 Male 29 Doctor 6.0 6 30 8 Normal 120/80 70 8000 None
17 Female 29 Nurse 6.5 5 40 7 Normal Weight 132/87 80 4000 Sleep Apnea
18 Male 29 Doctor 6.0 6 30 8 Normal 120/80 70 8000 Sleep Apnea
19 Female 29 Nurse 6.5 5 40 7 Normal Weight 132/87 80 4000 Insomnia
20 Male 30 Doctor 7.6 7 75 6 Normal 120/80 70 8000 None
21 Male 30 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
22 Male 30 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
23 Male 30 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
24 Male 30 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
25 Male 30 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
26 Male 30 Doctor 7.9 7 75 6 Normal 120/80 70 8000 None
27 Male 30 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
28 Male 30 Doctor 7.9 7 75 6 Normal 120/80 70 8000 None
29 Male 30 Doctor 7.9 7 75 6 Normal 120/80 70 8000 None
30 Male 30 Doctor 7.9 7 75 6 Normal 120/80 70 8000 None
31 Female 30 Nurse 6.4 5 35 7 Normal Weight 130/86 78 4100 Sleep Apnea
32 Female 30 Nurse 6.4 5 35 7 Normal Weight 130/86 78 4100 Insomnia
33 Female 31 Nurse 7.9 8 75 4 Normal Weight 117/76 69 6800 None
34 Male 31 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
35 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
36 Male 31 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
37 Male 31 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
38 Male 31 Doctor 7.6 7 75 6 Normal 120/80 70 8000 None
39 Male 31 Doctor 7.6 7 75 6 Normal 120/80 70 8000 None
40 Male 31 Doctor 7.6 7 75 6 Normal 120/80 70 8000 None
41 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
42 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
43 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
44 Male 31 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
45 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
46 Male 31 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
47 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
48 Male 31 Doctor 7.8 7 75 6 Normal 120/80 70 8000 None
49 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
50 Male 31 Doctor 7.7 7 75 6 Normal 120/80 70 8000 Sleep Apnea
51 Male 32 Engineer 7.5 8 45 3 Normal 120/80 70 8000 None
52 Male 32 Engineer 7.5 8 45 3 Normal 120/80 70 8000 None
53 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
54 Male 32 Doctor 7.6 7 75 6 Normal 120/80 70 8000 None
55 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
56 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
57 Male 32 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
58 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
59 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
60 Male 32 Doctor 7.7 7 75 6 Normal 120/80 70 8000 None
61 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
62 Male 32 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
63 Male 32 Doctor 6.2 6 30 8 Normal 125/80 72 5000 None
64 Male 32 Doctor 6.2 6 30 8 Normal 125/80 72 5000 None
65 Male 32 Doctor 6.2 6 30 8 Normal 125/80 72 5000 None
66 Male 32 Doctor 6.2 6 30 8 Normal 125/80 72 5000 None
67 Male 32 Accountant 7.2 8 50 6 Normal Weight 118/76 68 7000 None
68 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 Insomnia
69 Female 33 Scientist 6.2 6 50 6 Overweight 128/85 76 5500 None
70 Female 33 Scientist 6.2 6 50 6 Overweight 128/85 76 5500 None
71 Male 33 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
72 Male 33 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
73 Male 33 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
74 Male 33 Doctor 6.1 6 30 8 Normal 125/80 72 5000 None
75 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
76 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
77 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
78 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
79 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
80 Male 33 Doctor 6.0 6 30 8 Normal 125/80 72 5000 None
81 Female 34 Scientist 5.8 4 32 8 Overweight 131/86 81 5200 Sleep Apnea
82 Female 34 Scientist 5.8 4 32 8 Overweight 131/86 81 5200 Sleep Apnea
83 Male 35 Teacher 6.7 7 40 5 Overweight 128/84 70 5600 None
84 Male 35 Teacher 6.7 7 40 5 Overweight 128/84 70 5600 None
85 Male 35 Software Engineer 7.5 8 60 5 Normal Weight 120/80 70 8000 None
86 Female 35 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
87 Male 35 Engineer 7.2 8 60 4 Normal 125/80 65 5000 None
88 Male 35 Engineer 7.2 8 60 4 Normal 125/80 65 5000 None
89 Male 35 Engineer 7.3 8 60 4 Normal 125/80 65 5000 None
90 Male 35 Engineer 7.3 8 60 4 Normal 125/80 65 5000 None
91 Male 35 Engineer 7.3 8 60 4 Normal 125/80 65 5000 None
92 Male 35 Engineer 7.3 8 60 4 Normal 125/80 65 5000 None
93 Male 35 Software Engineer 7.5 8 60 5 Normal Weight 120/80 70 8000 None
94 Male 35 Lawyer 7.4 7 60 5 Obese 135/88 84 3300 Sleep Apnea
95 Female 36 Accountant 7.2 8 60 4 Normal 115/75 68 7000 Insomnia
96 Female 36 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
97 Female 36 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
98 Female 36 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
99 Female 36 Teacher 7.1 8 60 4 Normal 115/75 68 7000 None
100 Female 36 Teacher 7.1 8 60 4 Normal 115/75 68 7000 None
101 Female 36 Teacher 7.2 8 60 4 Normal 115/75 68 7000 None
102 Female 36 Teacher 7.2 8 60 4 Normal 115/75 68 7000 None
103 Female 36 Teacher 7.2 8 60 4 Normal 115/75 68 7000 None
104 Male 36 Teacher 6.6 5 35 7 Overweight 129/84 74 4800 Sleep Apnea
105 Female 36 Teacher 7.2 8 60 4 Normal 115/75 68 7000 Sleep Apnea
106 Male 36 Teacher 6.6 5 35 7 Overweight 129/84 74 4800 Insomnia
107 Female 37 Nurse 6.1 6 42 6 Overweight 126/83 77 4200 None
108 Male 37 Engineer 7.8 8 70 4 Normal Weight 120/80 68 7000 None
109 Male 37 Engineer 7.8 8 70 4 Normal Weight 120/80 68 7000 None
110 Male 37 Lawyer 7.4 8 60 5 Normal 130/85 68 8000 None
111 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
112 Male 37 Lawyer 7.4 8 60 5 Normal 130/85 68 8000 None
113 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
114 Male 37 Lawyer 7.4 8 60 5 Normal 130/85 68 8000 None
115 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
116 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
117 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
118 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
119 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
120 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
121 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
122 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
123 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
124 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
125 Female 37 Accountant 7.2 8 60 4 Normal 115/75 68 7000 None
126 Female 37 Nurse 7.5 8 60 4 Normal Weight 120/80 70 8000 None
127 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
128 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
129 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
130 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
131 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
132 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
133 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
134 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
135 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
136 Male 38 Lawyer 7.3 8 60 5 Normal 130/85 68 8000 None
137 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
138 Male 38 Lawyer 7.1 8 60 5 Normal 130/85 68 8000 None
139 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
140 Male 38 Lawyer 7.1 8 60 5 Normal 130/85 68 8000 None
141 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
142 Male 38 Lawyer 7.1 8 60 5 Normal 130/85 68 8000 None
143 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
144 Female 38 Accountant 7.1 8 60 4 Normal 115/75 68 7000 None
145 Male 38 Lawyer 7.1 8 60 5 Normal 130/85 68 8000 Sleep Apnea
146 Female 38 Lawyer 7.4 7 60 5 Obese 135/88 84 3300 Sleep Apnea
147 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 Insomnia
148 Male 39 Engineer 6.5 5 40 7 Overweight 132/87 80 4000 Insomnia
149 Female 39 Lawyer 6.9 7 50 6 Normal Weight 128/85 75 5500 None
150 Female 39 Accountant 8.0 9 80 3 Normal Weight 115/78 67 7500 None
151 Female 39 Accountant 8.0 9 80 3 Normal Weight 115/78 67 7500 None
152 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
153 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
154 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
155 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
156 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
157 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
158 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
159 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
160 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
161 Male 39 Lawyer 7.2 8 60 5 Normal 130/85 68 8000 None
162 Female 40 Accountant 7.2 8 55 6 Normal Weight 119/77 73 7300 None
163 Female 40 Accountant 7.2 8 55 6 Normal Weight 119/77 73 7300 None
164 Male 40 Lawyer 7.9 8 90 5 Normal 130/85 68 8000 None
165 Male 40 Lawyer 7.9 8 90 5 Normal 130/85 68 8000 None
166 Male 41 Lawyer 7.6 8 90 5 Normal 130/85 70 8000 Insomnia
167 Male 41 Engineer 7.3 8 70 6 Normal Weight 121/79 72 6200 None
168 Male 41 Lawyer 7.1 7 55 6 Overweight 125/82 72 6000 None
169 Male 41 Lawyer 7.1 7 55 6 Overweight 125/82 72 6000 None
170 Male 41 Lawyer 7.7 8 90 5 Normal 130/85 70 8000 None
171 Male 41 Lawyer 7.7 8 90 5 Normal 130/85 70 8000 None
172 Male 41 Lawyer 7.7 8 90 5 Normal 130/85 70 8000 None
173 Male 41 Lawyer 7.7 8 90 5 Normal 130/85 70 8000 None
174 Male 41 Lawyer 7.7 8 90 5 Normal 130/85 70 8000 None
175 Male 41 Lawyer 7.6 8 90 5 Normal 130/85 70 8000 None
176 Male 41 Lawyer 7.6 8 90 5 Normal 130/85 70 8000 None
177 Male 41 Lawyer 7.6 8 90 5 Normal 130/85 70 8000 None
178 Male 42 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
179 Male 42 Lawyer 7.8 8 90 5 Normal 130/85 70 8000 None
180 Male 42 Lawyer 7.8 8 90 5 Normal 130/85 70 8000 None
181 Male 42 Lawyer 7.8 8 90 5 Normal 130/85 70 8000 None
182 Male 42 Lawyer 7.8 8 90 5 Normal 130/85 70 8000 None
183 Male 42 Lawyer 7.8 8 90 5 Normal 130/85 70 8000 None
184 Male 42 Lawyer 7.8 8 90 5 Normal 130/85 70 8000 None
185 Female 42 Teacher 6.8 6 45 7 Overweight 130/85 78 5000 Sleep Apnea
186 Female 42 Teacher 6.8 6 45 7 Overweight 130/85 78 5000 Sleep Apnea
187 Female 43 Teacher 6.7 7 45 4 Overweight 135/90 65 6000 Insomnia
188 Male 43 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
189 Female 43 Teacher 6.7 7 45 4 Overweight 135/90 65 6000 Insomnia
190 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
191 Female 43 Teacher 6.7 7 45 4 Overweight 135/90 65 6000 Insomnia
192 Male 43 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 Insomnia
193 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
194 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
195 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
196 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
197 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
198 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
199 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
200 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
201 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Insomnia
202 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 Insomnia
203 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 Insomnia
204 Male 43 Engineer 6.9 6 47 7 Normal Weight 117/76 69 6800 None
205 Male 43 Engineer 7.6 8 75 4 Overweight 122/80 68 6800 None
206 Male 43 Engineer 7.7 8 90 5 Normal 130/85 70 8000 None
207 Male 43 Engineer 7.7 8 90 5 Normal 130/85 70 8000 None
208 Male 43 Engineer 7.7 8 90 5 Normal 130/85 70 8000 None
209 Male 43 Engineer 7.7 8 90 5 Normal 130/85 70 8000 None
210 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
211 Male 43 Engineer 7.7 8 90 5 Normal 130/85 70 8000 None
212 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
213 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
214 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
215 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
216 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
217 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
218 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 None
219 Male 43 Engineer 7.8 8 90 5 Normal 130/85 70 8000 Sleep Apnea
220 Male 43 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 Sleep Apnea
221 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
222 Male 44 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 Insomnia
223 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
224 Male 44 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 Insomnia
225 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
226 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
227 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
228 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
229 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
230 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
231 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
232 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
233 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
234 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
235 Female 44 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
236 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
237 Male 44 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 Insomnia
238 Female 44 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
239 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
240 Male 44 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 Insomnia
241 Female 44 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
242 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
243 Male 44 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 Insomnia
244 Female 44 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
245 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
246 Female 44 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
247 Male 44 Salesperson 6.3 6 45 7 Overweight 130/85 72 6000 Insomnia
248 Male 44 Engineer 6.8 7 45 7 Overweight 130/85 78 5000 Insomnia
249 Male 44 Salesperson 6.4 6 45 7 Overweight 130/85 72 6000 None
250 Male 44 Salesperson 6.5 6 45 7 Overweight 130/85 72 6000 None
251 Female 45 Teacher 6.8 7 30 6 Overweight 135/90 65 6000 Insomnia
252 Female 45 Teacher 6.8 7 30 6 Overweight 135/90 65 6000 Insomnia
253 Female 45 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
254 Female 45 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
255 Female 45 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
256 Female 45 Teacher 6.5 7 45 4 Overweight 135/90 65 6000 Insomnia
257 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
258 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
259 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
260 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
261 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 Insomnia
262 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 None
263 Female 45 Teacher 6.6 7 45 4 Overweight 135/90 65 6000 None
264 Female 45 Manager 6.9 7 55 5 Overweight 125/82 75 5500 None
265 Male 48 Doctor 7.3 7 65 5 Obese 142/92 83 3500 Insomnia
266 Female 48 Nurse 5.9 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
267 Male 48 Doctor 7.3 7 65 5 Obese 142/92 83 3500 Insomnia
268 Female 49 Nurse 6.2 6 90 8 Overweight 140/95 75 10000 None
269 Female 49 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
270 Female 49 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
271 Female 49 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
272 Female 49 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
273 Female 49 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
274 Female 49 Nurse 6.2 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
275 Female 49 Nurse 6.2 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
276 Female 49 Nurse 6.2 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
277 Male 49 Doctor 8.1 9 85 3 Obese 139/91 86 3700 Sleep Apnea
278 Male 49 Doctor 8.1 9 85 3 Obese 139/91 86 3700 Sleep Apnea
279 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Insomnia
280 Female 50 Engineer 8.3 9 30 3 Normal 125/80 65 5000 None
281 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 None
282 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
283 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
284 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
285 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
286 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
287 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
288 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
289 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
290 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
291 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
292 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
293 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
294 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
295 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
296 Female 50 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
297 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
298 Female 50 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
299 Female 51 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
300 Female 51 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
301 Female 51 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
302 Female 51 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
303 Female 51 Nurse 7.1 7 55 6 Normal Weight 125/82 72 6000 None
304 Female 51 Nurse 6.0 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
305 Female 51 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
306 Female 51 Nurse 6.1 6 90 8 Overweight 140/95 75 10000 Sleep Apnea
307 Female 52 Accountant 6.5 7 45 7 Overweight 130/85 72 6000 Insomnia
308 Female 52 Accountant 6.5 7 45 7 Overweight 130/85 72 6000 Insomnia
309 Female 52 Accountant 6.6 7 45 7 Overweight 130/85 72 6000 Insomnia
310 Female 52 Accountant 6.6 7 45 7 Overweight 130/85 72 6000 Insomnia
311 Female 52 Accountant 6.6 7 45 7 Overweight 130/85 72 6000 Insomnia
312 Female 52 Accountant 6.6 7 45 7 Overweight 130/85 72 6000 Insomnia
313 Female 52 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
314 Female 52 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
315 Female 52 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
316 Female 53 Engineer 8.3 9 30 3 Normal 125/80 65 5000 Insomnia
317 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
318 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
319 Female 53 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
320 Female 53 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
321 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
322 Female 53 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
323 Female 53 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
324 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
325 Female 53 Engineer 8.3 9 30 3 Normal 125/80 65 5000 None
326 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
327 Female 53 Engineer 8.3 9 30 3 Normal 125/80 65 5000 None
328 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
329 Female 53 Engineer 8.3 9 30 3 Normal 125/80 65 5000 None
330 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
331 Female 53 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
332 Female 53 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
333 Female 54 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
334 Female 54 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
335 Female 54 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
336 Female 54 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
337 Female 54 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
338 Female 54 Engineer 8.4 9 30 3 Normal 125/80 65 5000 None
339 Female 54 Engineer 8.5 9 30 3 Normal 125/80 65 5000 None
340 Female 55 Nurse 8.1 9 75 4 Overweight 140/95 72 5000 Sleep Apnea
341 Female 55 Nurse 8.1 9 75 4 Overweight 140/95 72 5000 Sleep Apnea
342 Female 56 Doctor 8.2 9 90 3 Normal Weight 118/75 65 10000 None
343 Female 56 Doctor 8.2 9 90 3 Normal Weight 118/75 65 10000 None
344 Female 57 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 None
345 Female 57 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
346 Female 57 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
347 Female 57 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
348 Female 57 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
349 Female 57 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
350 Female 57 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
351 Female 57 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
352 Female 57 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
353 Female 58 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
354 Female 58 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
355 Female 58 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
356 Female 58 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
357 Female 58 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
358 Female 58 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
359 Female 59 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 None
360 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 None
361 Female 59 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
362 Female 59 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
363 Female 59 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
364 Female 59 Nurse 8.2 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
365 Female 59 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
366 Female 59 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
367 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
368 Female 59 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
369 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
370 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
371 Female 59 Nurse 8.0 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
372 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
373 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea
374 Female 59 Nurse 8.1 9 75 3 Overweight 140/95 68 7000 Sleep Apnea

Column Tab 3

Column

Row 1

Row 2

Main Tab 2

Column

Row 3

Main Tab 3

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Row 4

---
title: "FinalQ2"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    logo: final.png
    source_code: embed
    social: menu
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(plotly)
library(knitr)
library(DT)
df <- read_csv('Sleep_health_and_lifestyle_dataset.csv')
p <- df %>% 
  mutate(stress_lvl = factor(stress_lvl)) %>% 
  ggplot()+ 
  geom_bar(mapping=aes(x=Gender, fill= stress_lvl), 
           position = 'fill')+
  labs(y='Proportion', fill= 'Stress Level')


p1 <- df %>% 
  mutate(stress_lvl = factor(stress_lvl)) %>% 
  ggplot()+ 
  geom_density(mapping=aes(x=Age))+
  facet_wrap(~sleep_disorder)
p2 <- df %>% 
  ggplot()+ 
  geom_bar(mapping=aes(x=Gender))
```

{.sidebar}
=======================================================================


### US Census Data

Here is information and analysis on the US census data.

Main Tab 1
=======================================================================

Column {data-width=500, .tabset}
-----------------------------------------------------------------------

### Column Tab 1

```{r}
df
```


### Column Tab 2

```{r}
kable(df)
```


### Column Tab 3

```{r}
datatable(df, options = list(
  pageLength = 25
))
```


Column {data-width=500}
-----------------------------------------------------------------------

### Row 1

```{r}
p
```

### Row 2

```{r}
ggplotly(p)
```

Main Tab 2
=======================================================================

Column {data-width=500}
-----------------------------------------------------------------------


### Row 3
```{r}
p1
```

```{r}
ggplotly(p1)
```

Main Tab 3
=======================================================================

Column {data-width=500}
-----------------------------------------------------------------------

### Row 4
```{r}
p2
```

```{r}
ggplotly(p2)
```